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ICIP 2018

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world. Visit website.

Model Corrected Low Rank Ptychography


In this paper, we introduce a novel algorithmic framework for sub-diffractive super-resolution imaging of dynamic, time varying targets. We extend recent works in low rank Fourier ptychographic imaging, to incorporate model-correction schemes, which correct for errors propagated due to inaccuracies in fitting an exact low rank model to the target video acquired. Through our algorithm, we are able to demonstrate superior reconstruction quality of video from phaseless Fourier ptychographic measurements, at low sample complexities, as compared to conventional ptychographic setups.

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Authors:
Chinmay Hegde, Namrata Vaswani
Submitted On:
8 October 2018 - 2:21pm
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poster_icip.pdf

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[1] Chinmay Hegde, Namrata Vaswani, "Model Corrected Low Rank Ptychography", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3628. Accessed: Oct. 19, 2018.
@article{3628-18,
url = {http://sigport.org/3628},
author = {Chinmay Hegde; Namrata Vaswani },
publisher = {IEEE SigPort},
title = {Model Corrected Low Rank Ptychography},
year = {2018} }
TY - EJOUR
T1 - Model Corrected Low Rank Ptychography
AU - Chinmay Hegde; Namrata Vaswani
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3628
ER -
Chinmay Hegde, Namrata Vaswani. (2018). Model Corrected Low Rank Ptychography. IEEE SigPort. http://sigport.org/3628
Chinmay Hegde, Namrata Vaswani, 2018. Model Corrected Low Rank Ptychography. Available at: http://sigport.org/3628.
Chinmay Hegde, Namrata Vaswani. (2018). "Model Corrected Low Rank Ptychography." Web.
1. Chinmay Hegde, Namrata Vaswani. Model Corrected Low Rank Ptychography [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3628

Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences

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Authors:
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni
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8 October 2018 - 7:48am
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ICIP2018_Presentation.pdf

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[1] Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3627. Accessed: Oct. 19, 2018.
@article{3627-18,
url = {http://sigport.org/3627},
author = {Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni },
publisher = {IEEE SigPort},
title = {Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences},
year = {2018} }
TY - EJOUR
T1 - Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences
AU - Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3627
ER -
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. IEEE SigPort. http://sigport.org/3627
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, 2018. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. Available at: http://sigport.org/3627.
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences." Web.
1. Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3627

Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences

Paper Details

Authors:
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni
Submitted On:
8 October 2018 - 7:48am
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Type:
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Paper Code:

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ICIP2018_Presentation.pdf

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[1] Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3626. Accessed: Oct. 19, 2018.
@article{3626-18,
url = {http://sigport.org/3626},
author = {Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni },
publisher = {IEEE SigPort},
title = {Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences},
year = {2018} }
TY - EJOUR
T1 - Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences
AU - Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Andrea Cavallaro; Carlo Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3626
ER -
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. IEEE SigPort. http://sigport.org/3626
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni, 2018. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences. Available at: http://sigport.org/3626.
Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. (2018). "Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences." Web.
1. Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo Regazzoni. Unsupervised Trajectory Modeling based on Discrete Descriptors for classifying Moving Objects in video Sequences [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3626

DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION

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8 October 2018 - 5:46am
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Poster for paper 2904

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[1] , "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3624. Accessed: Oct. 19, 2018.
@article{3624-18,
url = {http://sigport.org/3624},
author = { },
publisher = {IEEE SigPort},
title = {DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION },
year = {2018} }
TY - EJOUR
T1 - DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3624
ER -
. (2018). DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . IEEE SigPort. http://sigport.org/3624
, 2018. DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . Available at: http://sigport.org/3624.
. (2018). "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ." Web.
1. . DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3624

DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION

Paper Details

Authors:
Submitted On:
8 October 2018 - 5:46am
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Poster for paper 2904

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[1] , "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3623. Accessed: Oct. 19, 2018.
@article{3623-18,
url = {http://sigport.org/3623},
author = { },
publisher = {IEEE SigPort},
title = {DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION },
year = {2018} }
TY - EJOUR
T1 - DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3623
ER -
. (2018). DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . IEEE SigPort. http://sigport.org/3623
, 2018. DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION . Available at: http://sigport.org/3623.
. (2018). "DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION ." Web.
1. . DISCOVER THE EFFECTIVE STRATEGY FOR FACE RECOGNITION MODEL COMPRESSION BY IMPROVED KNOWLEDGE DISTILLATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3623

Diversity in Fashion Recommendation Using Semantic Parsing


Developing recommendation system for fashion images is challenging due to the inherent ambiguity associated with what criterion a user is looking at. Suggesting multiple images where each output image is similar to the query image on the basis of a different feature or part is one way to mitigate the problem. Existing works for fashion recommendation have used Siamese or Triplet network to learn features between a similar pair and a similar dissimilar triplet respectively.

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Authors:
Sukhad Anand, Chetan Arora, Atul Rai
Submitted On:
8 October 2018 - 4:26am
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Fashion recommendation based on contextual similarity

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[1] Sukhad Anand, Chetan Arora, Atul Rai, "Diversity in Fashion Recommendation Using Semantic Parsing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3622. Accessed: Oct. 19, 2018.
@article{3622-18,
url = {http://sigport.org/3622},
author = {Sukhad Anand; Chetan Arora; Atul Rai },
publisher = {IEEE SigPort},
title = {Diversity in Fashion Recommendation Using Semantic Parsing},
year = {2018} }
TY - EJOUR
T1 - Diversity in Fashion Recommendation Using Semantic Parsing
AU - Sukhad Anand; Chetan Arora; Atul Rai
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3622
ER -
Sukhad Anand, Chetan Arora, Atul Rai. (2018). Diversity in Fashion Recommendation Using Semantic Parsing. IEEE SigPort. http://sigport.org/3622
Sukhad Anand, Chetan Arora, Atul Rai, 2018. Diversity in Fashion Recommendation Using Semantic Parsing. Available at: http://sigport.org/3622.
Sukhad Anand, Chetan Arora, Atul Rai. (2018). "Diversity in Fashion Recommendation Using Semantic Parsing." Web.
1. Sukhad Anand, Chetan Arora, Atul Rai. Diversity in Fashion Recommendation Using Semantic Parsing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3622

SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630

Paper Details

Authors:
Nicole Schmidt, Arne Schumann, Jürgen Beyerer
Submitted On:
8 October 2018 - 3:52am
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ICIP2018_paper_1630.pdf

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[1] Nicole Schmidt, Arne Schumann, Jürgen Beyerer, "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3621. Accessed: Oct. 19, 2018.
@article{3621-18,
url = {http://sigport.org/3621},
author = {Nicole Schmidt; Arne Schumann; Jürgen Beyerer },
publisher = {IEEE SigPort},
title = {SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630},
year = {2018} }
TY - EJOUR
T1 - SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630
AU - Nicole Schmidt; Arne Schumann; Jürgen Beyerer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3621
ER -
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. IEEE SigPort. http://sigport.org/3621
Nicole Schmidt, Arne Schumann, Jürgen Beyerer, 2018. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. Available at: http://sigport.org/3621.
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630." Web.
1. Nicole Schmidt, Arne Schumann, Jürgen Beyerer. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630 [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3621

SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630

Paper Details

Authors:
Nicole Schmidt, Arne Schumann, Jürgen Beyerer
Submitted On:
8 October 2018 - 3:52am
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Type:
Event:
Paper Code:

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ICIP2018_paper_1630.pdf

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[1] Nicole Schmidt, Arne Schumann, Jürgen Beyerer, "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3620. Accessed: Oct. 19, 2018.
@article{3620-18,
url = {http://sigport.org/3620},
author = {Nicole Schmidt; Arne Schumann; Jürgen Beyerer },
publisher = {IEEE SigPort},
title = {SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630},
year = {2018} }
TY - EJOUR
T1 - SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630
AU - Nicole Schmidt; Arne Schumann; Jürgen Beyerer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3620
ER -
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. IEEE SigPort. http://sigport.org/3620
Nicole Schmidt, Arne Schumann, Jürgen Beyerer, 2018. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630. Available at: http://sigport.org/3620.
Nicole Schmidt, Arne Schumann, Jürgen Beyerer. (2018). "SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630." Web.
1. Nicole Schmidt, Arne Schumann, Jürgen Beyerer. SIGPORT FOR THE 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) for paper 1630 [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3620

CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING


A simple and scalable denoising algorithm is proposed that can be applied to a wide range of source and noise models. At the core of the proposed CUDE algorithm is symbol-by-symbol universal denoising used by the celebrated DUDE algorithm, whereby the optimal estimate of the source from an unknown distribution is computed by inverting the empirical distribution of the noisy observation sequence by a deep neural network, which naturally and implicitly aggregates multiple contexts of similar characteristics and estimates the conditional distribution more accurately.

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Authors:
Jongha Jon Ryu, Young-Han Kim
Submitted On:
8 October 2018 - 3:38am
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icip2018-poster-cude.pdf

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[1] Jongha Jon Ryu, Young-Han Kim, "CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3616. Accessed: Oct. 19, 2018.
@article{3616-18,
url = {http://sigport.org/3616},
author = {Jongha Jon Ryu; Young-Han Kim },
publisher = {IEEE SigPort},
title = {CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING},
year = {2018} }
TY - EJOUR
T1 - CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING
AU - Jongha Jon Ryu; Young-Han Kim
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3616
ER -
Jongha Jon Ryu, Young-Han Kim. (2018). CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING. IEEE SigPort. http://sigport.org/3616
Jongha Jon Ryu, Young-Han Kim, 2018. CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING. Available at: http://sigport.org/3616.
Jongha Jon Ryu, Young-Han Kim. (2018). "CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING." Web.
1. Jongha Jon Ryu, Young-Han Kim. CONDITIONAL DISTRIBUTION LEARNING WITH NEURAL NETWORKS AND ITS APPLICATION TO UNIVERSAL IMAGE DENOISING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3616

Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation

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Authors:
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez
Submitted On:
8 October 2018 - 3:08am
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Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation

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[1] Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez, "Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3615. Accessed: Oct. 19, 2018.
@article{3615-18,
url = {http://sigport.org/3615},
author = {Ester Gonzalez-Sosa; Julian Fierrez; Ruben Vera-Rodriguez and Fernando Alonso-Fernandez },
publisher = {IEEE SigPort},
title = {Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation},
year = {2018} }
TY - EJOUR
T1 - Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation
AU - Ester Gonzalez-Sosa; Julian Fierrez; Ruben Vera-Rodriguez and Fernando Alonso-Fernandez
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3615
ER -
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. (2018). Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation. IEEE SigPort. http://sigport.org/3615
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez, 2018. Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation. Available at: http://sigport.org/3615.
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. (2018). "Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation." Web.
1. Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez and Fernando Alonso-Fernandez. Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3615

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